Data science and analysis: general

Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general.

A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software.

A rigorous introduction to geometric and topological inference, for anyone interested in a geometric approach to data science.

Sind Sie ein Fan der Laws of Form?

Predictive analytics has revolutionized marketing practice.

Introduces fundamental theory, basic and advanced algorithms, and system design issues.

A comprehensive introduction to mathematical and agent-based modeling of social behaviorThis book provides a unified, theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, teaching readers how to build their own models, analyze them, and integrate them with empirical research programs.

A comprehensive introduction to flexible, efficient tools for describing massive data sets to improve the scalability of data analysis.

Effectively and ethically leveraging people data to deliver real business value is what sets the best HR leaders and teams apart.

A lively, practical, first-of-its-kind guide to understanding cold, clinical data and harnessing it to tell a persuasive story.

This is a book about how ecologists can integrate remote sensing and GIS in their research.

Leverage the power of Talent Intelligence (TI) to make evidence-informed decisions that drive business performance by using data about people, skills, jobs, business functions and geographies.

This book provides a comprehensive yet short description of the basic concepts of Complex Network theory.

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it.

This book surveys the myriad facets of monitoring people in motion, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis.

Experts in data analytics and power engineering present theories addressing the needs of modern power systems.

Former Wall Street Journal technology reporter Yukari Iwatani Kane delves deep inside Apple in the two years since Steve Jobss death, revealing the tensions and challenges CEO Tim Cook and his team face as they try to sustain Jobss vision and keep the company moving forward.

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time.

Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations.

This new book from bestselling author Jordan Morrow empowers data professionals to work and operate more effectively in an organizational setting, equipping them with key business knowledge and skills.

A reader-friendly introduction to the exciting world of statistics for the analysts, business leaders and policymakers of tomorrow.

Humberto Barreto shows professors how to teach macroeconomic models and incorporate data using Microsoft Excel® with free files and videos.

Despite businesses often being based on creating desirable experiences, products and services for consumers, many fail to consider the end user in their planning and development processes.

The social sciences are becoming datafied.

This is a book about how ecologists can integrate remote sensing and GIS in their daily work.

This accessible new textbook offers a straightforward introduction to doing spatial statistics.

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics.

Microsoft Excel is a powerful tool that can transform the way you use data.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.

Freakonomics lived on the New York Times bestseller list for an astonishing two years.

This is a book about the scientific process and how you apply it to data in ecology.

From world-class qualitative experts comes a practical, step-by-step introduction to doing dyadic interviews.

An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize.

Data mining has become the fastest growing topic of interest in business programs in the past decade.

Many businesses are based on creating desirable experiences, products and services for users.

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences.